@inproceedings{puccetti-etal-2024-abricot,
title = "{ABRICOT} - {AB}st{R}actness and Inclusiveness in {CO}ntex{T}: A {CALAMITA} Challenge",
author = "Puccetti, Giovanni and
Collacciani, Claudia and
Ravelli, Andrea Amelio and
Esuli, Andrea and
Bolognesi, Marianna",
editor = "Dell'Orletta, Felice and
Lenci, Alessandro and
Montemagni, Simonetta and
Sprugnoli, Rachele",
booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",
month = dec,
year = "2024",
address = "Pisa, Italy",
publisher = "CEUR Workshop Proceedings",
url = "https://aclanthology.org/2024.clicit-1.128/",
pages = "1161--1167",
ISBN = "979-12-210-7060-6",
abstract = "The ABRICOT Task is designed to evaluate Italian language models on their ability to understand and assess the abstractness and inclusiveness of language, two nuanced features that humans naturally convey in everyday communication. Unlike binary categorizations such as abstract/concrete or inclusive/exclusive, these features exist on a continuous spectrum with varying degrees of intensity. The task is based on a manual collection of sentences that present the same noun phrase (NP) in different contexts, allowing its interpretation to vary between the extremes of abstractness and inclusiveness. This challenge aims to verify the how LLMs perceive subtle linguistic variations and their implications in natural language."
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<abstract>The ABRICOT Task is designed to evaluate Italian language models on their ability to understand and assess the abstractness and inclusiveness of language, two nuanced features that humans naturally convey in everyday communication. Unlike binary categorizations such as abstract/concrete or inclusive/exclusive, these features exist on a continuous spectrum with varying degrees of intensity. The task is based on a manual collection of sentences that present the same noun phrase (NP) in different contexts, allowing its interpretation to vary between the extremes of abstractness and inclusiveness. This challenge aims to verify the how LLMs perceive subtle linguistic variations and their implications in natural language.</abstract>
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%0 Conference Proceedings
%T ABRICOT - ABstRactness and Inclusiveness in COntexT: A CALAMITA Challenge
%A Puccetti, Giovanni
%A Collacciani, Claudia
%A Ravelli, Andrea Amelio
%A Esuli, Andrea
%A Bolognesi, Marianna
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F puccetti-etal-2024-abricot
%X The ABRICOT Task is designed to evaluate Italian language models on their ability to understand and assess the abstractness and inclusiveness of language, two nuanced features that humans naturally convey in everyday communication. Unlike binary categorizations such as abstract/concrete or inclusive/exclusive, these features exist on a continuous spectrum with varying degrees of intensity. The task is based on a manual collection of sentences that present the same noun phrase (NP) in different contexts, allowing its interpretation to vary between the extremes of abstractness and inclusiveness. This challenge aims to verify the how LLMs perceive subtle linguistic variations and their implications in natural language.
%U https://aclanthology.org/2024.clicit-1.128/
%P 1161-1167
Markdown (Informal)
[ABRICOT - ABstRactness and Inclusiveness in COntexT: A CALAMITA Challenge](https://aclanthology.org/2024.clicit-1.128/) (Puccetti et al., CLiC-it 2024)
ACL